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Evaluation of low resistivity hydrocarbon bearing formation by using electric forward modeling | |
Author | Panupong Dangyeunyong |
Call Number | AIT Thesis no.GE-09-12 |
Subject(s) | Hydrocarbon reservoirs--Southeast Asia |
Note | A thesis submitted in partial fulfillment of the requirements for the degree of Master of Engineering in Geosystem Exploration and Petroleum Geoengineering, School of Engineering and Technology |
Publisher | Asian Institute of Technology |
Series Statement | Thesis ; no. GE-09-12 |
Abstract | For this study, the author revise the possible causes of low resistivity and low contrast pay zone that are from laminated sand/shale sequence, fresh formation waters, conductive mineral and high capillary pressure . The high capillary pr essure have three source: (i) fine-grained sa nd, (ii) internal microporos ity and (iii) superficial microporosity. The major origin of low resi stivity is laminated sand/shale sequence. The author focuses on the laminated shale reservoirs that have low resistivity. Analytical models of borehole environment prove the effect of laminated shale that gives low resistivity. Numerical models suppor t cause and effect by thin layer shale in low resistivity pay zone. Some oil fields in the Southeast Asia that exhibit the low resistivity behavior are in Pattani basin and Cuu Long basin. The author selects prospect zones by gas zone of cross area between neutron porosity and dens ity log. For Pattani basin, the selected zone is 5,038-5,085 feet depth. Nine forward models are created to match with true resistivity by log. The ninth model has 150 Ω -m in oil bearing zone and 8 Ω -m for laminated shale. The volume of shale (V sh ) from geomodel is 0.41 that are input in the laminated shale equation ( () 2 1 1 s h sh w tsh VaR V S RR − ⎛⎞ =−× ⎜⎟ Φ ⎝⎠ w ). The average water saturation from laminated shale equation is 0. 66 that shows the better opportunity for oil production than results from Archie’s equation (average S w = 1.00), Indonesian equation (average S w = 0.96) and Waxman-Smits (average S w = 0.92). Furthermore, the usage of V sh by Gamma ray log in laminated shale equation gives the average water saturation is 0.96. For Cuu Long basin, the prospect zone is 2,100-2,120 meter depth. The author simulates thirteen models to fit with true formation resistivity. The thirteenth model has 100 Ω -m in hydrocarbon bearing zone and 2 Ω -m for laminated shale. The volume of shale (V sh ) from geomodel is 0.48 that ar e input in the laminated shale equation. The average water saturation from laminated shale equation is 0.27 that shows the better opportunity for oil producti on than results from Archie’s equation (average S w = 0.85), Indonesian equation (average S w = 0.55). Moreover, the usage of V sh by Gamma ray log in laminated shale eq uation gives the average water saturation is 0.48. |
Year | 2010 |
Corresponding Series Added Entry | Asian Institute of Technology. Thesis ; no. GE-09-12 |
Type | Thesis |
School | School of Engineering and Technology (SET) |
Department | Department of Civil and Infrastucture Engineering (DCIE) |
Academic Program/FoS | Geotechnical Engineering (GE) |
Chairperson(s) | Giao, Pham Huy;Noppadol Phien-wej; |
Examination Committee(s) | Chiu, Greg;Son, Hoang Phuoc; |
Scholarship Donor(s) | HM King Scholarship; |
Degree | Thesis (M.Eng.) - Asian Institute of Technology, 2009 |